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Ph.D.

University of South Carolina

• Working on Visual-Inertial Odometry for Autonomous Underwater Vehicles
• Resilient SLAM for challenging environments such as underwater

Research Engineer Intern

Meta Inc.

• Designed algorithm for multi-session localization using sparse point cloud alignment
• Evaluated the drift in anchors, which serve as local persistent coordinate frame, due to localization error during multi-session operation

Research Assistant

University of South Carolina

• Developed algorithm for 3D mapping of underwater structures using Visual-Inertial data from GoPro
• Designed real-time deep learning-based pose estimation framework for Underwater Autonomous Vehicle using only synthetic images
• Evaluated and compared the performance of ten different visual-inertial state estimation algorithms in the underwater domain

Instructor/Teaching Assistant

University of South Carolina

• Taught ”Introduction to Computer Concepts” to 50+ students which introduces students to the Python programming language
• Graded assignments/projects/exams and helped students for various computer science courses

gopro-ros

• Extract synchornized visual-inertial data from GoPro videos in rosbag format.

Deep Underwater Localization

• Deep learning based 6D pose estimation framework for relative AUV localization.